Machine Learning Researcher
Hybrid (London)full-timePosted 3mo ago
About the role
ML Researcher role in London at Augur, bridging cutting-edge research and production deployment in real-time spatial intelligence. Lead end-to-end research directions, develop novel algorithms across CV, DL, metric learning, 3D geometry, and vision-language modeling; from prototype to production-grade systems powering real-time spatial insights.
Responsibilities
- Own research directions end-to-end, developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision-language modelling.
- Formulate problems, design experiments, and drive work from prototype through production-grade systems.
- Publish at top venues and deploy at scale.
- Shape Augur's research roadmap and mentor junior researchers and interns.
- Work on-site at least two days weekly, specifically one day being a Thursday.
Qualifications
- PhD (or Master's with equivalent research experience) in Computer Vision, Machine Learning, or a related discipline
- Academic track record with published work at leading journals or conferences (strong plus)
- Deep expertise in metric learning, multi-view geometry, depth estimation, 3D scene understanding, rendering techniques, feature-based tracking, self-supervised learning, or learning-based mapping and localisation
- Strong Python and PyTorch skills; production-quality code and code reviews
- Ability to independently formulate research problems, define technical direction, and communicate findings clearly in writing and discussion
Skills
Required:Research problem formulationExperiment designPythonPyTorch
Last updated Jul 15, 2026. Interested? Apply on the company site.
About Augur
Where insight drives action
Augur provides advanced sensor fusion and machine learning solutions for security applications.
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